def get_cdlshortline(ohlc):
cdlshortline = ta.CDLSHORTLINE(ohlc['1_open'], ohlc['2_high'],
ohlc['3_low'], ohlc['4_close'])
ohlc['cdlshortline'] = cdlshortline
return ohlc
def short_line_candle(self):
"""
名称：Short Line Candle 短蜡烛
简介：一日K线模式，实体短，无上下影线。
"""
result = talib.CDLSHORTLINE(open=np.array(self.dataframe['open']),
high=np.array(self.dataframe['high']),
low=np.array(self.dataframe['low']),
close=np.array(self.dataframe['close']))
self.dataframe['short_line_candle'] = result
def CDLSHORTLINE(open, high, low, close):
''' Short Line Candle 短蜡烛
分组: Pattern Recognition 形态识别
简介: 一日K线模式，实体短，无上下影线
integer = CDLSHORTLINE(open, high, low, close)
'''
return talib.CDLSHORTLINE(open, high, low, close)
def short_line(self, sym, frequency):
if not self.kbars_ready(sym, frequency):
return []
opens = self.open(sym, frequency)
highs = self.high(sym, frequency)
lows = self.low(sym, frequency)
closes = self.close(sym, frequency)
cdl = ta.CDLSHORTLINE(opens, highs, lows, closes)
return cdl
def built_in_scanners(ticker="SPY"):
data = yf.download(ticker,
start="2020-01-01",
end=datetime.today().strftime('%Y-%m-%d'))
open = data['Open']
high = data['High']
low = data['Low']
close = data['Close']
# The library's functions runs on yesterday's date, so subtract 1 from today's date.
current_date = datetime.today() - timedelta(days=1)
current_date_formatted = current_date.strftime('%Y-%m-%d')
two_crows = talib.CDL2CROWS(open, high, low, close)[current_date_formatted]
three_black_crows = talib.CDL3BLACKCROWS(open, high, low,
close)[current_date_formatted]
three_inside = talib.CDL3INSIDE(open, high, low,
close)[current_date_formatted]
three_line_strike = talib.CDL3LINESTRIKE(open, high, low,
close)[current_date_formatted]
three_outside = talib.CDL3OUTSIDE(open, high, low,
close)[current_date_formatted]
three_stars_in_south = talib.CDL3STARSINSOUTH(
open, high, low, close)[current_date_formatted]
three_white_soldiers = talib.CDL3WHITESOLDIERS(
open, high, low, close)[current_date_formatted]
abandoned_baby = talib.CDLABANDONEDBABY(open, high, low,
close)[current_date_formatted]
advance_block = talib.CDLADVANCEBLOCK(open, high, low,
close)[current_date_formatted]
belt_hold = talib.CDLBELTHOLD(open, high, low,
close)[current_date_formatted]
breakaway = talib.CDLBREAKAWAY(open, high, low,
close)[current_date_formatted]
closing_marubozu = talib.CDLCLOSINGMARUBOZU(open, high, low,
close)[current_date_formatted]
concealing_baby_swallow = talib.CDLCONCEALBABYSWALL(
open, high, low, close)[current_date_formatted]
talib.CDLCOUNTERATTACK(open, high, low, close)[current_date_formatted]
dark_cloud_cover = talib.CDLDARKCLOUDCOVER(
open, high, low, close, penetration=0)[current_date_formatted]
doji = talib.CDLDOJI(open, high, low, close)[current_date_formatted]
doji_star = talib.CDLDOJISTAR(open, high, low,
close)[current_date_formatted]
dragonfly_doji = talib.CDLDRAGONFLYDOJI(open, high, low,
close)[current_date_formatted]
engulfing_candle = talib.CDLENGULFING(open, high, low,
close)[current_date_formatted]
evening_doji_star = talib.CDLEVENINGDOJISTAR(
open, high, low, close, penetration=0)[current_date_formatted]
evening_star = talib.CDLEVENINGSTAR(open, high, low, close,
penetration=0)[current_date_formatted]
gaps = talib.CDLGAPSIDESIDEWHITE(open, high, low,
close)[current_date_formatted]
gravestone_doji = talib.CDLGRAVESTONEDOJI(open, high, low,
close)[current_date_formatted]
hammer = talib.CDLHAMMER(open, high, low, close)[current_date_formatted]
hanging_man = talib.CDLHANGINGMAN(open, high, low,
close)[current_date_formatted]
harami = talib.CDLHARAMI(open, high, low, close)[current_date_formatted]
harami_cross = talib.CDLHARAMICROSS(open, high, low,
close)[current_date_formatted]
high_wave = talib.CDLHIGHWAVE(
open, high, low, close)[current_date_formatted][talib.CDLHIGHWAVE != 0]
hikkake = talib.CDLHIKKAKE(open, high, low, close)[current_date_formatted]
hikkakemod = talib.CDLHIKKAKEMOD(open, high, low,
close)[current_date_formatted]
homing_pigeon = talib.CDLHOMINGPIGEON(open, high, low,
close)[current_date_formatted]
identical_three_crows = talib.CDLIDENTICAL3CROWS(
open, high, low, close)[current_date_formatted]
in_neck = talib.CDLINNECK(open, high, low, close)[current_date_formatted]
inverted_hammer = talib.CDLINVERTEDHAMMER(open, high, low,
close)[current_date_formatted]
kicking = talib.CDLKICKING(open, high, low, close)[current_date_formatted]
kicking_by_length = talib.CDLKICKINGBYLENGTH(open, high, low,
close)[current_date_formatted]
ladder_bottom = talib.CDLLADDERBOTTOM(open, high, low,
close)[current_date_formatted]
long_legged_doji = talib.CDLLONGLEGGEDDOJI(open, high, low,
close)[current_date_formatted]
long_line = talib.CDLLONGLINE(open, high, low,
close)[current_date_formatted]
marubozu = talib.CDLMARUBOZU(open, high, low,
close)[current_date_formatted]
matching_low = talib.CDLMATCHINGLOW(open, high, low,
close)[current_date_formatted]
mat_hold = talib.CDLMATHOLD(open, high, low, close,
penetration=0)[current_date_formatted]
morning_doji_star = talib.CDLMORNINGDOJISTAR(
open, high, low, close, penetration=0)[current_date_formatted]
morning_star = talib.CDLMORNINGSTAR(open, high, low, close,
penetration=0)[current_date_formatted]
on_neck = talib.CDLONNECK(open, high, low, close)[current_date_formatted]
piercing = talib.CDLPIERCING(open, high, low,
close)[current_date_formatted]
rickshawman = talib.CDLRICKSHAWMAN(open, high, low,
close)[current_date_formatted]
rise_fall_3_methods = talib.CDLRISEFALL3METHODS(
open, high, low, close)[current_date_formatted]
separating_lines = talib.CDLSEPARATINGLINES(open, high, low,
close)[current_date_formatted]
shooting_star = talib.CDLSHOOTINGSTAR(open, high, low,
close)[current_date_formatted]
shortline = talib.CDLSHORTLINE(open, high, low,
close)[current_date_formatted]
spinning_top = talib.CDLSPINNINGTOP(open, high, low,
close)[current_date_formatted]
stalled_pattern = talib.CDLSTALLEDPATTERN(open, high, low,
close)[current_date_formatted]
stick_sandwich = talib.CDLSTICKSANDWICH(open, high, low,
close)[current_date_formatted]
takuri = talib.CDLTAKURI(open, high, low, close)[current_date_formatted]
tasuki_gap = talib.CDLTASUKIGAP(open, high, low,
close)[current_date_formatted]
thrusting = talib.CDLTHRUSTING(open, high, low,
close)[current_date_formatted]
tristar = talib.CDLTRISTAR(open, high, low, close)[current_date_formatted]
unique_three_river = talib.CDLUNIQUE3RIVER(open, high, low,
close)[current_date_formatted]
upside_gap_two_crows = talib.CDLUPSIDEGAP2CROWS(
open, high, low, close)[current_date_formatted]
upside_downside_gap_three_methods = talib.CDLXSIDEGAP3METHODS(
open, high, low, close)[current_date_formatted]
patterns = list(vars().keys())[7:]
values = list(vars().values())[7:]
for index in range(0, len(patterns)):
if (values[index] != 0):
print(patterns[index])
print(values[index])
def all_candels(df):
df['two_crow'] = talib.CDL2CROWS(df.open,df.high,df.low,df.close)
df['three_black_crows'] = talib.CDL3BLACKCROWS(df.open,df.high,df.low,df.close)
df['threeinside updown'] = talib.CDL3INSIDE(df.open,df.high,df.low,df.close)
df['threelinestrike'] = talib.CDL3LINESTRIKE(df.open,df.high,df.low,df.close)
df['3outside'] = talib.CDL3OUTSIDE(df.open,df.high,df.low,df.close)
df['3starsinsouth'] = talib.CDL3STARSINSOUTH(df.open,df.high,df.low,df.close)
df['3WHITESOLDIERS'] = talib.CDL3WHITESOLDIERS(df.open,df.high,df.low,df.close)
df['ABANDONEDBABY'] = talib.CDLABANDONEDBABY(df.open,df.high,df.low,df.close)
df['ADVANCEBLOCK'] = talib.CDLADVANCEBLOCK(df.open,df.high,df.low,df.close)
df['BELTHOLD'] = talib.CDLBELTHOLD(df.open,df.high,df.low,df.close)
df['BREAKAWAY'] = talib.CDLBREAKAWAY(df.open,df.high,df.low,df.close)
df['CLOSINGMARUBOZU'] = talib.CDLCLOSINGMARUBOZU(df.open,df.high,df.low,df.close)
df['CONCEALBABYSWALL'] = talib.CDLCONCEALBABYSWALL(df.open,df.high,df.low,df.close)
df['COUNTERATTACK'] = talib.CDLCOUNTERATTACK(df.open,df.high,df.low,df.close)
df['DARKCLOUDCOVER'] = talib.CDLDARKCLOUDCOVER(df.open,df.high,df.low,df.close)
df['DOJI'] = talib.CDLDOJI(df.open,df.high,df.low,df.close)
df['DOJISTAR'] = talib.CDLDOJISTAR(df.open,df.high,df.low,df.close)
df['DRAGONFLYDOJI'] = talib.CDLDRAGONFLYDOJI(df.open,df.high,df.low,df.close)
df['ENGULFING'] = talib.CDLENGULFING(df.open,df.high,df.low,df.close)
df['EVENINGDOJISTAR'] = talib.CDLEVENINGDOJISTAR(df.open,df.high,df.low,df.close)
df['EVENINGSTAR'] = talib.CDLEVENINGSTAR(df.open,df.high,df.low,df.close)
df['GAPSIDESIDEWHITE'] = talib.CDLGAPSIDESIDEWHITE(df.open,df.high,df.low,df.close)
df['GRAVESTONEDOJI'] = talib.CDLGRAVESTONEDOJI(df.open,df.high,df.low,df.close)
df['HAMMER'] = talib.CDLHAMMER(df.open,df.high,df.low,df.close)
df['HANGINGMAN'] = talib.CDLHANGINGMAN(df.open,df.high,df.low,df.close)
df['HARAMI'] = talib.CDLHARAMI(df.open,df.high,df.low,df.close)
df['HARAMICROSS'] = talib.CDLHARAMICROSS(df.open,df.high,df.low,df.close)
df['HIGHWAVE'] = talib.CDLHIGHWAVE(df.open,df.high,df.low,df.close)
df['HIKKAKE'] = talib.CDLHIKKAKE(df.open,df.high,df.low,df.close)
df['HIKKAKEMOD'] = talib.CDLHIKKAKEMOD(df.open,df.high,df.low,df.close)
df['HOMINGPIGEON'] = talib.CDLHOMINGPIGEON(df.open,df.high,df.low,df.close)
df['IDENTICAL3CROWS'] = talib.CDLIDENTICAL3CROWS(df.open,df.high,df.low,df.close)
df['INNECK'] = talib.CDLINNECK(df.open,df.high,df.low,df.close)
df['INVERTEDHAMMER'] = talib.CDLINVERTEDHAMMER(df.open,df.high,df.low,df.close)
df['KICKING'] = talib.CDLKICKING(df.open,df.high,df.low,df.close)
df['KICKINGBYLENGTH'] = talib.CDLKICKINGBYLENGTH(df.open,df.high,df.low,df.close)
df['LADDERBOTTOM'] = talib.CDLLADDERBOTTOM(df.open,df.high,df.low,df.close)
df['LONGLEGGEDDOJI'] = talib.CDLLONGLEGGEDDOJI(df.open,df.high,df.low,df.close)
df['LONGLINE'] = talib.CDLLONGLINE(df.open,df.high,df.low,df.close)
df['MARUBOZU'] = talib.CDLMARUBOZU(df.open,df.high,df.low,df.close)
df['MATCHINGLOW'] = talib.CDLMATCHINGLOW(df.open,df.high,df.low,df.close)
df['MATHOLD'] = talib.CDLMATHOLD(df.open,df.high,df.low,df.close)
df['MORNINGDOJISTAR'] = talib.CDLMORNINGDOJISTAR(df.open,df.high,df.low,df.close)
df['MORNINGSTAR'] = talib.CDLMORNINGSTAR(df.open,df.high,df.low,df.close)
df['ONNECK'] = talib.CDLONNECK(df.open,df.high,df.low,df.close)
df['PIERCING'] = talib.CDLPIERCING(df.open,df.high,df.low,df.close)
df['RICKSHAWMAN'] = talib.CDLRICKSHAWMAN(df.open,df.high,df.low,df.close)
df['RISEFALL3METHODS'] = talib.CDLRISEFALL3METHODS(df.open,df.high,df.low,df.close)
df['SEPARATINGLINES'] = talib.CDLSEPARATINGLINES(df.open,df.high,df.low,df.close)
df['SHOOTINGSTAR'] = talib.CDLSHOOTINGSTAR(df.open,df.high,df.low,df.close)
df['SHORTLINE'] = talib.CDLSHORTLINE(df.open,df.high,df.low,df.close)
df['SPINNINGTOP'] = talib.CDLSPINNINGTOP(df.open,df.high,df.low,df.close)
df['STALLEDPATTERN'] = talib.CDLSTALLEDPATTERN(df.open,df.high,df.low,df.close)
df['STICKSANDWICH'] = talib.CDLSTICKSANDWICH(df.open,df.high,df.low,df.close)
df['TAKURI'] = talib.CDLTAKURI(df.open,df.high,df.low,df.close)
df['TASUKIGAP'] = talib.CDLTASUKIGAP(df.open,df.high,df.low,df.close)
df['THRUSTING'] = talib.CDLTHRUSTING(df.open,df.high,df.low,df.close)
df['TRISTAR'] = talib.CDLTRISTAR(df.open,df.high,df.low,df.close)
df['UNIQUE3RIVER'] = talib.CDLUNIQUE3RIVER(df.open,df.high,df.low,df.close)
df['UPSIDEGAP2CROWS'] = talib.CDLUPSIDEGAP2CROWS(df.open,df.high,df.low,df.close)
df['XSIDEGAP3METHODS'] = talib.CDLXSIDEGAP3METHODS(df.open,df.high,df.low,df.close)
return df
def get_technical_indicators(dataset):
# Create 7 and 21 days Moving Average
dataset['ma7'] = dataset['Adj Close'].rolling(window=7).mean()
dataset['ma21'] = dataset['Adj Close'].rolling(window=21).mean()
# Create Exponential moving average
dataset['ema'] = dataset['Adj Close'].ewm(com=0.5).mean()
# Create MACD
dataset['26ema'] = dataset['Adj Close'].ewm(span=26).mean()
dataset['12ema'] = dataset['Adj Close'].ewm(span=12).mean()
dataset['MACD'] = (dataset['12ema'] - dataset['26ema'])
# Create Momentum
dataset['momentum'] = dataset['Adj Close'] - 1
# Create Bollinger Bands
dataset['20sd'] = dataset['Adj Close'].rolling(20).std()
dataset['upper_band'] = dataset['ma21'] + (dataset['20sd'] * 2)
dataset['lower_band'] = dataset['ma21'] - (dataset['20sd'] * 2)
# Create RSI indicator
dataset['RSI'] = ta.RSI(np.array(dataset['Adj Close']))
#Part I: Create Cycle Indicators
#Create HT_DCPERIOD - Hilbert Transform - Dominant Cycle Period
dataset['HT_DCPERIOD'] = ta.HT_DCPERIOD(np.array(dataset['Adj Close']))
#Create HT_DCPHASE - Hilbert Transform - Dominant Cycle Phase
dataset['HT_DCPHASE'] = ta.HT_DCPHASE(np.array(dataset['Adj Close']))
#HT_TRENDMODE - Hilbert Transform - Trend vs Cycle Mode
dataset['HT_TRENDMODE'] = ta.HT_TRENDMODE(np.array(dataset['Adj Close']))
#Part II: Create Volatility Indicators
#Create Average True Range
dataset['ATR'] = ta.ATR(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=14)
#Create NATR - Normalized Average True Range
dataset['NATR'] = ta.NATR(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=14)
#Create TRANGE - True Range
dataset['TRANGE'] = ta.TRANGE(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Part III Overlap Studies
#Create DEMA - Double Exponential Moving Average
dataset['DEMA'] = ta.DEMA(np.array(dataset['Adj Close']), timeperiod=30)
#Create HT_TRENDLINE - Hilbert Transform - Instantaneous Trendline
dataset['HT_TRENDLINE'] = ta.HT_TRENDLINE(np.array(dataset['Adj Close']))
#Create KAMA - Kaufman Adaptive Moving Average
dataset['KAMA'] = ta.KAMA(np.array(dataset['Adj Close']), timeperiod=30)
#Create MIDPOINT - MidPoint over period
dataset['MIDPOINT'] = ta.MIDPOINT(np.array(dataset['Adj Close']),
timeperiod=14)
#Create MIDPRICE - Midpoint Price over period
dataset['MIDPRICE'] = ta.MIDPRICE(np.array(dataset['High']),
np.array(dataset['Low']),
timeperiod=14)
#Create SAR - Parabolic SAR
dataset['SAR'] = ta.SAR(np.array(dataset['High']),
np.array(dataset['Low']),
acceleration=0,
maximum=0)
#Create SMA - Simple Moving Average
dataset['SMA10'] = ta.SMA(np.array(dataset['Adj Close']), timeperiod=10)
#Create T3 - Triple Exponential Moving Average (T3)
dataset['T3'] = ta.T3(np.array(dataset['Adj Close']),
timeperiod=5,
vfactor=0)
#Create TRIMA - Triangular Moving Average
dataset['TRIMA'] = ta.TRIMA(np.array(dataset['Adj Close']), timeperiod=30)
#Create WMA - Weighted Moving Average
dataset['WMA'] = ta.WMA(np.array(dataset['Adj Close']), timeperiod=30)
#PART IV Momentum Indicators
#Create ADX - Average Directional Movement Index
dataset['ADX14'] = ta.ADX(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=14)
dataset['ADX20'] = ta.ADX(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=20)
#Create ADXR - Average Directional Movement Index Rating
dataset['ADXR'] = ta.ADXR(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=14)
#Create APO - Absolute Price Oscillator
dataset['APO'] = ta.APO(np.array(dataset['Adj Close']),
fastperiod=12,
slowperiod=26,
matype=0)
#Create AROONOSC - Aroon Oscillator
dataset['AROONOSC'] = ta.AROONOSC(np.array(dataset['High']),
np.array(dataset['Low']),
timeperiod=14)
#Create BOP - Balance Of Power
dataset['BOP'] = ta.BOP(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CCI - Commodity Channel Index
dataset['CCI3'] = ta.CCI(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=3)
dataset['CCI5'] = ta.CCI(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=5)
dataset['CCI10'] = ta.CCI(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=10)
dataset['CCI14'] = ta.CCI(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=14)
#Create CMO - Chande Momentum Oscillator
dataset['CMO'] = ta.CMO(np.array(dataset['Adj Close']), timeperiod=14)
#Create DX - Directional Movement Index
dataset['DX'] = ta.DX(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=14)
#Create MINUS_DI - Minus Directional Indicator
dataset['MINUS_DI'] = ta.MINUS_DI(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=14)
#Create MINUS_DM - Minus Directional Movement
dataset['MINUS_DM'] = ta.MINUS_DM(np.array(dataset['High']),
np.array(dataset['Low']),
timeperiod=14)
#Create MOM - Momentum
dataset['MOM3'] = ta.MOM(np.array(dataset['Adj Close']), timeperiod=3)
dataset['MOM5'] = ta.MOM(np.array(dataset['Adj Close']), timeperiod=5)
dataset['MOM10'] = ta.MOM(np.array(dataset['Adj Close']), timeperiod=10)
#Create PLUS_DI - Plus Directional Indicator
dataset['PLUS_DI'] = ta.PLUS_DI(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=14)
#Create PLUS_DM - Plus Directional Movement
dataset['PLUS_DM'] = ta.PLUS_DM(np.array(dataset['High']),
np.array(dataset['Low']),
timeperiod=14)
#Create PPO - Percentage Price Oscillator
dataset['PPO'] = ta.PPO(np.array(dataset['Adj Close']),
fastperiod=12,
slowperiod=26,
matype=0)
#Create ROC - Rate of change : ((price/prevPrice)-1)*100
dataset['ROC'] = ta.ROC(np.array(dataset['Adj Close']), timeperiod=10)
#Create ROCP - Rate of change Percentage: (price-prevPrice)/prevPrice
dataset['ROCP'] = ta.ROCP(np.array(dataset['Adj Close']), timeperiod=10)
#Create ROCR - Rate of change ratio: (price/prevPrice)
dataset['ROCR'] = ta.ROCR(np.array(dataset['Adj Close']), timeperiod=10)
#Create ROCR100 - Rate of change ratio 100 scale: (price/prevPrice)*100
dataset['ROCR100'] = ta.ROCR100(np.array(dataset['Adj Close']),
timeperiod=10)
#Create RSI - Relative Strength Index
dataset['RSI5'] = ta.RSI(np.array(dataset['Adj Close']), timeperiod=5)
dataset['RSI10'] = ta.RSI(np.array(dataset['Adj Close']), timeperiod=10)
dataset['RSI14'] = ta.RSI(np.array(dataset['Adj Close']), timeperiod=14)
#Create TRIX - 1-day Rate-Of-Change (ROC) of a Triple Smooth EMA
dataset['TRIX'] = ta.TRIX(np.array(dataset['Adj Close']), timeperiod=30)
#Create ULTOSC - Ultimate Oscillator
dataset['ULTOSC'] = ta.ULTOSC(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod1=7,
timeperiod2=14,
timeperiod3=28)
#Create WILLR - Williams' %R
dataset['WILLR'] = ta.WILLR(np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
timeperiod=14)
#Part V Pattern Recognition
#Create CDL2CROWS - Two Crows
dataset['CDL2CROWS'] = ta.CDL2CROWS(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDL3BLACKCROWS - Three Black Crows
dataset['CDL3BLACKCROWS'] = ta.CDL3BLACKCROWS(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDL3INSIDE - Three Inside Up/Down
dataset['CDL3INSIDE'] = ta.CDL3INSIDE(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDL3LINESTRIKE - Three-Line Strike
dataset['CDL3LINESTRIKE'] = ta.CDL3LINESTRIKE(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDL3OUTSIDE - Three Outside Up/Down
dataset['CDL3OUTSIDE'] = ta.CDL3OUTSIDE(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDL3STARSINSOUTH - Three Stars In The South
dataset['CDL3STARSINSOUTH '] = ta.CDL3STARSINSOUTH(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDL3WHITESOLDIERS - Three Advancing White Soldiers
dataset['CDL3WHITESOLDIERS'] = ta.CDL3WHITESOLDIERS(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLABANDONEDBABY - Abandoned Baby
dataset['CDLABANDONEDBABY'] = ta.CDLABANDONEDBABY(
np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
penetration=0)
#Create CDLADVANCEBLOCK - Advance Block
dataset['CDLADVANCEBLOCK'] = ta.CDLADVANCEBLOCK(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLBELTHOLD - Belt-hold
dataset['CDLBELTHOLD'] = ta.CDLBELTHOLD(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLBREAKAWAY - Breakaway
dataset['CDLBREAKAWAY'] = ta.CDLBREAKAWAY(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLCLOSINGMARUBOZU - Closing Marubozu
dataset['CDLCLOSINGMARUBOZU'] = ta.CDLCLOSINGMARUBOZU(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLCONCEALBABYSWALL - Concealing Baby Swalnp.array(dataset['Low'])
dataset['CDLCONCEALBABYSWALL'] = ta.CDLCONCEALBABYSWALL(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLCOUNTERATTACK - Counterattack
dataset['CDLCOUNTERATTACK'] = ta.CDLCOUNTERATTACK(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLDARKCLOUDCOVER - Dark Cloud Cover
dataset['CDLDARKCLOUDCOVER'] = ta.CDLDARKCLOUDCOVER(
np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
penetration=0)
#Create CDLDOJI - Doji
dataset['CDLDOJI'] = ta.CDLDOJI(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLDOJISTAR - Doji Star
dataset['CDLDOJISTAR'] = ta.CDLDOJISTAR(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLDRAGONFLYDOJI - Dragonfly Doji
dataset['CDLDRAGONFLYDOJI'] = ta.CDLDRAGONFLYDOJI(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLENGULFING - Engulfing Pattern
dataset['CDLENGULFING'] = ta.CDLENGULFING(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLEVENINGDOJISTAR - Evening Doji Star
dataset['CDLEVENINGDOJISTAR'] = ta.CDLEVENINGDOJISTAR(
np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
penetration=0)
#Create CDLEVENINGSTAR - Evening Star
dataset['CDLEVENINGSTAR'] = ta.CDLEVENINGSTAR(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(
dataset['Adj Close']),
penetration=0)
#Create CDLGAPSIDESIDEWHITE - Up/Down-gap side-by-side white lines
dataset['CDLGAPSIDESIDEWHITE'] = ta.CDLGAPSIDESIDEWHITE(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLGRAVESTONEDOJI - Gravestone Doji
dataset['CDLGRAVESTONEDOJI'] = ta.CDLGRAVESTONEDOJI(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLHAMMER - Hammer
dataset['CDLHAMMER'] = ta.CDLHAMMER(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLHANGINGMAN - Hanging Man
dataset['CDLHANGINGMAN'] = ta.CDLHANGINGMAN(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLHARAMI - Harami Pattern
dataset['CDLHARAMI'] = ta.CDLHARAMI(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLHARAMICROSS - Harami Cross Pattern
dataset['CDLHARAMICROSS'] = ta.CDLHARAMICROSS(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLHIGHWAVE - High-Wave Candle
dataset['CDLHIGHWAVE'] = ta.CDLHIGHWAVE(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLHIKKAKE - Hikkake Pattern
dataset['CDLHIKKAKE'] = ta.CDLHIKKAKE(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLHIKKAKEMOD - Modified Hikkake Pattern
dataset['CDLHIKKAKEMOD'] = ta.CDLHIKKAKEMOD(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLHOMINGPIGEON - Homing Pigeon
dataset['CDLHOMINGPIGEON'] = ta.CDLHOMINGPIGEON(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLIDENTICAL3CROWS - Identical Three Crows
dataset['CDLIDENTICAL3CROWS'] = ta.CDLIDENTICAL3CROWS(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLINNECK - In-Neck Pattern
dataset['CDLINNECK'] = ta.CDLINNECK(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLINVERTEDHAMMER - Inverted Hammer
dataset['CDLINVERTEDHAMMER'] = ta.CDLINVERTEDHAMMER(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLKICKING - Kicking
dataset['CDLKICKING'] = ta.CDLKICKING(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLKICKINGBYLENGTH - Kicking - bull/bear determined by the longer marubozu
dataset['CDLKICKINGBYLENGTH'] = ta.CDLKICKINGBYLENGTH(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLLADDERBOTTOM - Ladder Bottom
dataset['CDLLADDERBOTTOM'] = ta.CDLLADDERBOTTOM(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLLONGLEGGEDDOJI - Long Legged Doji
dataset['CDLLONGLEGGEDDOJI'] = ta.CDLLONGLEGGEDDOJI(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLLONGLINE - Long Line Candle
dataset['CDLLONGLINE'] = ta.CDLLONGLINE(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLMARUBOZU - Marubozu
dataset['CDLMARUBOZU'] = ta.CDLMARUBOZU(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLMATCHINGLOW - Matching Low
dataset['CDLMATCHINGLOW'] = ta.CDLMATCHINGLOW(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLMATHOLD - Mat Hold
dataset['CDLMATHOLD'] = ta.CDLMATHOLD(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
penetration=0)
#Create CDLMORNINGDOJISTAR - Morning Doji Star
dataset['CDLMORNINGDOJISTAR'] = ta.CDLMORNINGDOJISTAR(
np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']),
penetration=0)
#Create CDLMORNINGSTAR - Morning Star
dataset['CDLMORNINGSTAR'] = ta.CDLMORNINGSTAR(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(
dataset['Adj Close']),
penetration=0)
#Create CDLONNECK - On-Neck Pattern
dataset['CDLONNECK'] = ta.CDLONNECK(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLPIERCING - Piercing Pattern
dataset['CDLPIERCING'] = ta.CDLPIERCING(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLRICKSHAWMAN - Rickshaw Man
dataset['CDLRICKSHAWMAN'] = ta.CDLRICKSHAWMAN(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLRISEFALL3METHODS - Rising/Falling Three Methods
dataset['CDLRISEFALL3METHODS'] = ta.CDLRISEFALL3METHODS(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLSEPARATINGLINES - Separating Lines
dataset['CDLSEPARATINGLINES'] = ta.CDLSEPARATINGLINES(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLSHOOTINGSTAR - Shooting Star
dataset['CDLSHOOTINGSTAR'] = ta.CDLSHOOTINGSTAR(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLSHORTLINE - Short Line Candle
dataset['CDLSHORTLINE'] = ta.CDLSHORTLINE(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLSPINNINGTOP - Spinning Top
dataset['CDLSPINNINGTOP'] = ta.CDLSPINNINGTOP(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLSTALLEDPATTERN - Stalled Pattern
dataset['CDLSTALLEDPATTERN'] = ta.CDLSTALLEDPATTERN(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLSTICKSANDWICH - Stick Sandwich
dataset['CDLSTICKSANDWICH'] = ta.CDLSTICKSANDWICH(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLTAKURI - Takuri (Dragonfly Doji with very long np.array(dataset['Low'])er shadow)
dataset['CDLTAKURI'] = ta.CDLTAKURI(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLTASUKIGAP - Tasuki Gap
dataset['CDLTASUKIGAP'] = ta.CDLTASUKIGAP(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLTHRUSTING - Thrusting Pattern
dataset['CDLTHRUSTING'] = ta.CDLTHRUSTING(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLTRISTAR - Tristar Pattern
dataset['CDLTRISTAR'] = ta.CDLTRISTAR(np.array(dataset['Open']),
np.array(dataset['High']),
np.array(dataset['Low']),
np.array(dataset['Adj Close']))
#Create CDLUNIQUE3RIVER - Unique 3 River
dataset['CDLUNIQUE3RIVER'] = ta.CDLUNIQUE3RIVER(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLUPSIDEGAP2CROWS - Upside Gap Two Crows
dataset['CDLUPSIDEGAP2CROWS'] = ta.CDLUPSIDEGAP2CROWS(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
#Create CDLXSIDEGAP3METHODS - Upside/Downside Gap Three Methods
dataset['CDLXSIDEGAP3METHODS'] = ta.CDLXSIDEGAP3METHODS(
np.array(dataset['Open']), np.array(dataset['High']),
np.array(dataset['Low']), np.array(dataset['Adj Close']))
return dataset
def CDLSHORTLINE(data):
res = talib.CDLSHORTLINE(
data.open.values, data.high.values, data.low.values, data.close.values)
return pd.DataFrame({'CDLSHORTLINE': res}, index=data.index)
resorted['low'],
resorted['close'])
CDLRICKSHAWMAN_real = talib.CDLRICKSHAWMAN(
resorted['open'], resorted['high'], resorted['low'],
resorted['close'])
CDLRISEFALL3METHODS_real = talib.CDLRISEFALL3METHODS(
resorted['open'], resorted['high'], resorted['low'],
resorted['close'])
CDLSEPARATINGLINES_real = talib.CDLSEPARATINGLINES(
resorted['open'], resorted['high'], resorted['low'],
resorted['close'])
CDLSHOOTINGSTAR_real = talib.CDLSHOOTINGSTAR(
resorted['open'], resorted['high'], resorted['low'],
resorted['close'])
CDLSHORTLINE_real = talib.CDLSHORTLINE(resorted['open'],
resorted['high'],
resorted['low'],
resorted['close'])
CDLSPINNINGTOP_real = talib.CDLSPINNINGTOP(
resorted['open'], resorted['high'], resorted['low'],
resorted['close'])
CDLSTALLEDPATTERN_real = talib.CDLSTALLEDPATTERN(
resorted['open'], resorted['high'], resorted['low'],
resorted['close'])
CDLSTICKSANDWICH_real = talib.CDLSTICKSANDWICH(
resorted['open'], resorted['high'], resorted['low'],
resorted['close'])
CDLTAKURI_real = talib.CDLTAKURI(resorted['open'],
resorted['high'],
resorted['low'],
resorted['close'])
CDLTASUKIGAP_real = talib.CDLTASUKIGAP(resorted['open'],
def create_signal_dataframe(df_):
o = np.array(df_['始値'])
c = np.array(df_['終値'])
l = np.array(df_['安値'])
h = np.array(df_['高値'])
df = df_.copy()
df['CDL2CROWS'] = ta.CDL2CROWS(o, h, l, c)
df['CDL3BLACKCROWS'] = ta.CDL3BLACKCROWS(o, h, l, c)
df['CDL3INSIDE'] = ta.CDL3INSIDE(o, h, l, c)
df['CDL3LINESTRIKE'] = ta.CDL3LINESTRIKE(o, h, l, c)
df['CDL3OUTSIDE'] = ta.CDL3OUTSIDE(o, h, l, c)
df['CDL3STARSINSOUTH'] = ta.CDL3STARSINSOUTH(o, h, l, c)
df['CDL3WHITESOLDIERS'] = ta.CDL3WHITESOLDIERS(o, h, l, c)
df['CDLABANDONEDBABY'] = ta.CDLABANDONEDBABY(o, h, l, c)
df['CDLADVANCEBLOCK'] = ta.CDLADVANCEBLOCK(o, h, l, c)
df['CDLBELTHOLD'] = ta.CDLBELTHOLD(o, h, l, c)
df['CDLBREAKAWAY'] = ta.CDLBREAKAWAY(o, h, l, c)
df['CDLCLOSINGMARUBOZU'] = ta.CDLCLOSINGMARUBOZU(o, h, l, c)
df['CDLCONCEALBABYSWALL'] = ta.CDLCONCEALBABYSWALL(o, h, l, c)
df['CDLCOUNTERATTACK'] = ta.CDLCOUNTERATTACK(o, h, l, c)
df['CDLDARKCLOUDCOVER'] = ta.CDLDARKCLOUDCOVER(o, h, l, c)
df['CDLDOJI'] = ta.CDLDOJI(o, h, l, c)
df['CDLDOJISTAR'] = ta.CDLDOJISTAR(o, h, l, c)
df['CDLDRAGONFLYDOJI'] = ta.CDLDRAGONFLYDOJI(o, h, l, c)
df['CDLENGULFING'] = ta.CDLENGULFING(o, h, l, c)
df['CDLEVENINGDOJISTAR'] = ta.CDLEVENINGDOJISTAR(o, h, l, c)
df['CDLEVENINGSTAR'] = ta.CDLEVENINGSTAR(o, h, l, c)
df['CDLGAPSIDESIDEWHITE'] = ta.CDLGAPSIDESIDEWHITE(o, h, l, c)
df['CDLGRAVESTONEDOJI'] = ta.CDLGRAVESTONEDOJI(o, h, l, c)
df['CDLHAMMER'] = ta.CDLHAMMER(o, h, l, c)
df['CDLHANGINGMAN'] = ta.CDLHANGINGMAN(o, h, l, c)
df['CDLHARAMI'] = ta.CDLHARAMI(o, h, l, c)
df['CDLHARAMICROSS'] = ta.CDLHARAMICROSS(o, h, l, c)
df['CDLHIGHWAVE'] = ta.CDLHIGHWAVE(o, h, l, c)
df['CDLHIKKAKE'] = ta.CDLHIKKAKE(o, h, l, c)
df['CDLHIKKAKEMOD'] = ta.CDLHIKKAKEMOD(o, h, l, c)
df['CDLHOMINGPIGEON'] = ta.CDLHOMINGPIGEON(o, h, l, c)
df['CDLIDENTICAL3CROWS'] = ta.CDLIDENTICAL3CROWS(o, h, l, c)
df['CDLINNECK'] = ta.CDLINNECK(o, h, l, c)
df['CDLINVERTEDHAMMER'] = ta.CDLINVERTEDHAMMER(o, h, l, c)
df['CDLKICKING'] = ta.CDLKICKING(o, h, l, c)
df['CDLKICKINGBYLENGTH'] = ta.CDLKICKINGBYLENGTH(o, h, l, c)
df['CDLLADDERBOTTOM'] = ta.CDLLADDERBOTTOM(o, h, l, c)
df['CDLLONGLEGGEDDOJI'] = ta.CDLLONGLEGGEDDOJI(o, h, l, c)
df['CDLLONGLINE'] = ta.CDLLONGLINE(o, h, l, c)
df['CDLMARUBOZU'] = ta.CDLMARUBOZU(o, h, l, c)
df['CDLMATCHINGLOW'] = ta.CDLMATCHINGLOW(o, h, l, c)
df['CDLMATHOLD'] = ta.CDLMATHOLD(o, h, l, c)
df['CDLMORNINGDOJISTAR'] = ta.CDLMORNINGDOJISTAR(o, h, l, c)
df['CDLMORNINGSTAR'] = ta.CDLMORNINGSTAR(o, h, l, c)
df['CDLONNECK'] = ta.CDLONNECK(o, h, l, c)
df['CDLPIERCING'] = ta.CDLPIERCING(o, h, l, c)
df['CDLRICKSHAWMAN'] = ta.CDLRICKSHAWMAN(o, h, l, c)
df['CDLRISEFALL3METHODS'] = ta.CDLRISEFALL3METHODS(o, h, l, c)
df['CDLSEPARATINGLINES'] = ta.CDLSEPARATINGLINES(o, h, l, c)
df['CDLSHOOTINGSTAR'] = ta.CDLSHOOTINGSTAR(o, h, l, c)
df['CDLSHORTLINE'] = ta.CDLSHORTLINE(o, h, l, c)
df['CDLSPINNINGTOP'] = ta.CDLSPINNINGTOP(o, h, l, c)
df['CDLSTALLEDPATTERN'] = ta.CDLSTALLEDPATTERN(o, h, l, c)
df['CDLSTICKSANDWICH'] = ta.CDLSTICKSANDWICH(o, h, l, c)
df['CDLTAKURI'] = ta.CDLTAKURI(o, h, l, c)
df['CDLTASUKIGAP'] = ta.CDLTASUKIGAP(o, h, l, c)
df['CDLTHRUSTING'] = ta.CDLTHRUSTING(o, h, l, c)
df['CDLTRISTAR'] = ta.CDLTRISTAR(o, h, l, c)
df['CDLUNIQUE3RIVER'] = ta.CDLUNIQUE3RIVER(o, h, l, c)
df['CDLUPSIDEGAP2CROWS'] = ta.CDLUPSIDEGAP2CROWS(o, h, l, c)
df['CDLXSIDEGAP3METHODS'] = ta.CDLXSIDEGAP3METHODS(o, h, l, c)
return df
def collectDATA(self, start_dt, end_dt, para_min, threshold):
# 建立数据库连接,剔除已入库的部分
db = pymysql.connect(host='127.0.0.1',
user='******',
passwd='admin',
db='stock',
charset='utf8')
cursor = db.cursor()
if para_min == 'day':
sql_done_set = "SELECT * FROM btc_day a where state_dt >= '%s' and state_dt <= '%s' order by state_dt asc" % (
start_dt, end_dt)
else:
sql_done_set = "SELECT * FROM btc_%smin a where state_dt >= '%s' and state_dt <= '%s' order by state_dt asc" % (
str(para_min), start_dt, end_dt)
cursor.execute(sql_done_set)
done_set = cursor.fetchall()
if len(done_set) == 0:
raise Exception
self.date_seq = []
self.open_list = []
self.close_list = []
self.high_list = []
self.low_list = []
self.vol_list = []
self.amount_list = []
self.tor_list = []
self.vr_list = []
self.ma5_list = []
self.ma10_list = []
self.ma20_list = []
self.ma30_list = []
self.ma60_list = []
for i in range(len(done_set)):
self.date_seq.append(done_set[i][0])
self.open_list.append(float(done_set[i][1]))
self.close_list.append(float(done_set[i][2]))
self.high_list.append(float(done_set[i][3]))
self.low_list.append(float(done_set[i][4]))
self.vol_list.append(float(done_set[i][6]))
self.amount_list.append(float(done_set[i][5]))
db.close()
cdl_2crows = ta.CDL2CROWS(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_3blackcrows = ta.CDL3BLACKCROWS(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_3inside = ta.CDL3INSIDE(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_3linestrike = ta.CDL3LINESTRIKE(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_3outside = ta.CDL3OUTSIDE(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_3starsinsouth = ta.CDL3STARSINSOUTH(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_3whitesoldiers = ta.CDL3WHITESOLDIERS(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_abandonedbaby = ta.CDLABANDONEDBABY(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_advancedblock = ta.CDLADVANCEBLOCK(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_belthold = ta.CDLBELTHOLD(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_breakaway = ta.CDLBREAKAWAY(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_closing = ta.CDLCLOSINGMARUBOZU(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_conbaby = ta.CDLCONCEALBABYSWALL(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_counterattack = ta.CDLCOUNTERATTACK(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_darkcloud = ta.CDLDARKCLOUDCOVER(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_doji = ta.CDLDOJI(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_dojistar = ta.CDLDOJISTAR(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_dragondoji = ta.CDLDRAGONFLYDOJI(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_eng = ta.CDLENGULFING(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_evedoji = ta.CDLEVENINGDOJISTAR(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_evestar = ta.CDLEVENINGSTAR(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_gapside = ta.CDLGAPSIDESIDEWHITE(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_gravedoji = ta.CDLGRAVESTONEDOJI(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_hammer = ta.CDLHAMMER(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_hanging = ta.CDLHANGINGMAN(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_hara = ta.CDLHARAMI(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_haracross = ta.CDLHARAMICROSS(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_highwave = ta.CDLHIGHWAVE(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_hikk = ta.CDLHIKKAKE(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_hikkmod = ta.CDLHIKKAKEMOD(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_homing = ta.CDLHOMINGPIGEON(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_i3crows = ta.CDLIDENTICAL3CROWS(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_inneck = ta.CDLINNECK(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_inverhammer = ta.CDLINVERTEDHAMMER(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_kicking = ta.CDLKICKING(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_kicking2 = ta.CDLKICKINGBYLENGTH(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_ladder = ta.CDLLADDERBOTTOM(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_longdoji = ta.CDLLONGLEGGEDDOJI(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_longline = ta.CDLLONGLINE(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_marubo = ta.CDLMARUBOZU(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_matchinglow = ta.CDLMATCHINGLOW(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_mathold = ta.CDLMATHOLD(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_morningdoji = ta.CDLMORNINGDOJISTAR(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_morningstar = ta.CDLMORNINGSTAR(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_onneck = ta.CDLONNECK(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_pier = ta.CDLPIERCING(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_rick = ta.CDLRICKSHAWMAN(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_3methords = ta.CDLRISEFALL3METHODS(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_seprate = ta.CDLSEPARATINGLINES(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_shoot = ta.CDLSHOOTINGSTAR(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_shortcandle = ta.CDLSHORTLINE(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_spin = ta.CDLSPINNINGTOP(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_stalled = ta.CDLSTALLEDPATTERN(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_sandwich = ta.CDLSTICKSANDWICH(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_taku = ta.CDLTAKURI(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_takugap = ta.CDLTASUKIGAP(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_thrust = ta.CDLTHRUSTING(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_tristar = ta.CDLTRISTAR(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_uni = ta.CDLUNIQUE3RIVER(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_upgap = ta.CDLUPSIDEGAP2CROWS(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
cdl_xside = ta.CDLXSIDEGAP3METHODS(np.array(self.open_list),
np.array(self.high_list),
np.array(self.low_list),
np.array(self.close_list))
self.data_train = []
self.data_target = []
self.data_target_onehot = []
for i in range(len(self.close_list) - 5):
train = [
cdl_2crows[i], cdl_3blackcrows[i], cdl_3inside[i],
cdl_3linestrike[i], cdl_3outside[i], cdl_3starsinsouth[i],
cdl_3whitesoldiers[i], cdl_abandonedbaby[i],
cdl_advancedblock[i], cdl_belthold[i], cdl_breakaway[i],
cdl_closing[i], cdl_conbaby[i], cdl_counterattack[i],
cdl_darkcloud[i], cdl_doji[i], cdl_dojistar[i],
cdl_dragondoji[i], cdl_eng[i], cdl_evedoji[i], cdl_evestar[i],
cdl_gapside[i], cdl_gravedoji[i], cdl_hammer[i],
cdl_hanging[i], cdl_hara[i], cdl_haracross[i], cdl_highwave[i],
cdl_hikk[i], cdl_hikkmod[i], cdl_homing[i], cdl_i3crows[i],
cdl_inneck[i], cdl_inverhammer[i], cdl_kicking[i],
cdl_kicking2[i], cdl_ladder[i], cdl_longdoji[i],
cdl_longline[i], cdl_marubo[i], cdl_matchinglow[i],
cdl_mathold[i], cdl_morningdoji[i], cdl_morningstar[i],
cdl_onneck[i], cdl_pier[i], cdl_rick[i], cdl_3methords[i],
cdl_seprate[i], cdl_shoot[i], cdl_shortcandle[i], cdl_spin[i],
cdl_stalled[i], cdl_sandwich[i], cdl_taku[i], cdl_takugap[i],
cdl_thrust[i], cdl_tristar[i], cdl_uni[i], cdl_upgap[i],
cdl_xside[i]
]
self.data_train.append(np.array(train))
# after_max_price = max(self.close_list[i+1:i + 5])
# after_min_price = min(self.close_list[i+1:i+5])
# if after_max_price / self.close_list[i] >= 1.01:
# self.data_target.append(float(1.00))
# self.data_target_onehot.append([1,0,0])
# elif after_min_price / self.close_list[i] < 0.99:
# self.data_target.append(float(-1.00))
# self.data_target_onehot.append([0,1,0])
# else:
# self.data_target.append(float(0.00))
# self.data_target_onehot.append([0,0,1])
after_mean_price = np.array(self.close_list[i + 1:i + 5]).mean()
if after_mean_price / self.close_list[i] > threshold:
self.data_target.append(float(1.00))
self.data_target_onehot.append([1, 0, 0])
else:
self.data_target.append(float(-1.00))
self.data_target_onehot.append([0, 1, 0])
self.cnt_pos = 0
self.cnt_pos = len([x for x in self.data_target if x == 1.00])
self.test_case = []
self.test_case = np.array([
cdl_2crows[-1], cdl_3blackcrows[-1], cdl_3inside[-1],
cdl_3linestrike[-1], cdl_3outside[-1], cdl_3starsinsouth[-1],
cdl_3whitesoldiers[-1], cdl_abandonedbaby[-1],
cdl_advancedblock[-1], cdl_belthold[-1], cdl_breakaway[-1],
cdl_closing[-1], cdl_conbaby[-1], cdl_counterattack[-1],
cdl_darkcloud[-1], cdl_doji[-1], cdl_dojistar[-1],
cdl_dragondoji[-1], cdl_eng[-1], cdl_evedoji[-1], cdl_evestar[-1],
cdl_gapside[-1], cdl_gravedoji[-1], cdl_hammer[-1],
cdl_hanging[-1], cdl_hara[-1], cdl_haracross[-1], cdl_highwave[-1],
cdl_hikk[-1], cdl_hikkmod[-1], cdl_homing[-1], cdl_i3crows[-1],
cdl_inneck[-1], cdl_inverhammer[-1], cdl_kicking[-1],
cdl_kicking2[-1], cdl_ladder[-1], cdl_longdoji[-1],
cdl_longline[-1], cdl_marubo[-1], cdl_matchinglow[-1],
cdl_mathold[-1], cdl_morningdoji[-1], cdl_morningstar[-1],
cdl_onneck[-1], cdl_pier[-1], cdl_rick[-1], cdl_3methords[-1],
cdl_seprate[-1], cdl_shoot[-1], cdl_shortcandle[-1], cdl_spin[-1],
cdl_stalled[-1], cdl_sandwich[-1], cdl_taku[-1], cdl_takugap[-1],
cdl_thrust[-1], cdl_tristar[-1], cdl_uni[-1], cdl_upgap[-1],
cdl_xside[-1]
])
self.data_train = np.array(self.data_train)
self.data_target = np.array(self.data_target)
def add_indicator(data):
open = data.Open
high = data.High
low = data.Low
close = data.Close
volume = data.Volume
data['CDL2CROWS'] = talib.CDL2CROWS(open, high, low, close)
data['CDL3BLACKCROWS'] = talib.CDL3BLACKCROWS(open, high, low, close)
data['CDL3INSIDE'] = talib.CDL3INSIDE(open, high, low, close)
data['CDL3LINESTRIKE'] = talib.CDL3LINESTRIKE(open, high, low, close)
data['CDL3OUTSIDE'] = talib.CDL3OUTSIDE(open, high, low, close)
data['CDL3STARSINSOUTH'] = talib.CDL3STARSINSOUTH(open, high, low, close)
data['CDL3WHITESOLDIERS'] = talib.CDL3WHITESOLDIERS(open, high, low, close)
data['CDLABANDONEDBABY'] = talib.CDLABANDONEDBABY(open,
high,
low,
close,
penetration=0)
data['CDLADVANCEBLOCK'] = talib.CDLADVANCEBLOCK(open, high, low, close)
data['CDLBELTHOLD'] = talib.CDLBELTHOLD(open, high, low, close)
data['CDLBREAKAWAY'] = talib.CDLBREAKAWAY(open, high, low, close)
data['CDLCLOSINGMARUBOZU'] = talib.CDLCLOSINGMARUBOZU(
open, high, low, close)
data['CDLCONCEALBABYSWALL'] = talib.CDLCONCEALBABYSWALL(
open, high, low, close)
data['CDLCOUNTERATTACK'] = talib.CDLCOUNTERATTACK(open, high, low, close)
data['CDLDARKCLOUDCOVER'] = talib.CDLDARKCLOUDCOVER(open,
high,
low,
close,
penetration=0)
data['CDLDOJI'] = talib.CDLDOJI(open, high, low, close)
data['CDLDOJISTAR'] = talib.CDLDOJISTAR(open, high, low, close)
data['CDLDRAGONFLYDOJI'] = talib.CDLDRAGONFLYDOJI(open, high, low, close)
data['CDLENGULFING'] = talib.CDLENGULFING(open, high, low, close)
data['CDLEVENINGDOJISTAR'] = talib.CDLEVENINGDOJISTAR(open,
high,
low,
close,
penetration=0)
data['CDLEVENINGSTAR'] = talib.CDLEVENINGSTAR(open,
high,
low,
close,
penetration=0)
data['CDLGAPSIDESIDEWHITE'] = talib.CDLGAPSIDESIDEWHITE(
open, high, low, close)
data['CDLGRAVESTONEDOJI'] = talib.CDLGRAVESTONEDOJI(open, high, low, close)
data['CDLHAMMER'] = talib.CDLHAMMER(open, high, low, close)
data['CDLHANGINGMAN'] = talib.CDLHANGINGMAN(open, high, low, close)
data['CDLHARAMI'] = talib.CDLHARAMI(open, high, low, close)
data['CDLHARAMICROSS'] = talib.CDLHARAMICROSS(open, high, low, close)
data['CDLHIGHWAVE'] = talib.CDLHIGHWAVE(open, high, low, close)
data['CDLHIKKAKE'] = talib.CDLHIKKAKE(open, high, low, close)
data['CDLHIKKAKEMOD'] = talib.CDLHIKKAKEMOD(open, high, low, close)
data['CDLHOMINGPIGEON'] = talib.CDLHOMINGPIGEON(open, high, low, close)
data['CDLIDENTICAL3CROWS'] = talib.CDLIDENTICAL3CROWS(
open, high, low, close)
data['CDLINNECK'] = talib.CDLINNECK(open, high, low, close)
data['CDLINVERTEDHAMMER'] = talib.CDLINVERTEDHAMMER(open, high, low, close)
data['CDLKICKING'] = talib.CDLKICKING(open, high, low, close)
data['CDLKICKINGBYLENGTH'] = talib.CDLKICKINGBYLENGTH(
open, high, low, close)
data['CDLLADDERBOTTOM'] = talib.CDLLADDERBOTTOM(open, high, low, close)
data['CDLLONGLEGGEDDOJI'] = talib.CDLLONGLEGGEDDOJI(open, high, low, close)
data['CDLLONGLINE'] = talib.CDLLONGLINE(open, high, low, close)
data['CDLMARUBOZU'] = talib.CDLMARUBOZU(open, high, low, close)
data['CDLMATCHINGLOW'] = talib.CDLMATCHINGLOW(open, high, low, close)
data['CDLMATHOLD'] = talib.CDLMATHOLD(open,
high,
low,
close,
penetration=0)
data['CDLMORNINGDOJISTAR'] = talib.CDLMORNINGDOJISTAR(open,
high,
low,
close,
penetration=0)
data['CDLMORNINGSTAR'] = talib.CDLMORNINGSTAR(open,
high,
low,
close,
penetration=0)
data['CDLONNECK'] = talib.CDLONNECK(open, high, low, close)
data['CDLPIERCING'] = talib.CDLPIERCING(open, high, low, close)
data['CDLRICKSHAWMAN'] = talib.CDLRICKSHAWMAN(open, high, low, close)
data['CDLRISEFALL3METHODS'] = talib.CDLRISEFALL3METHODS(
open, high, low, close)
data['CDLSEPARATINGLINES'] = talib.CDLSEPARATINGLINES(
open, high, low, close)
data['CDLSHOOTINGSTAR'] = talib.CDLSHOOTINGSTAR(open, high, low, close)
data['CDLSHORTLINE'] = talib.CDLSHORTLINE(open, high, low, close)
data['CDLSPINNINGTOP'] = talib.CDLSPINNINGTOP(open, high, low, close)
data['CDLSTALLEDPATTERN'] = talib.CDLSTALLEDPATTERN(open, high, low, close)
data['CDLSTICKSANDWICH'] = talib.CDLSTICKSANDWICH(open, high, low, close)
data['CDLTAKURI'] = talib.CDLTAKURI(open, high, low, close)
data['CDLTASUKIGAP'] = talib.CDLTASUKIGAP(open, high, low, close)
data['CDLTHRUSTING'] = talib.CDLTHRUSTING(open, high, low, close)
data['CDLTRISTAR'] = talib.CDLTRISTAR(open, high, low, close)
data['CDLUNIQUE3RIVER'] = talib.CDLUNIQUE3RIVER(open, high, low, close)
data['CDLUPSIDEGAP2CROWS'] = talib.CDLUPSIDEGAP2CROWS(
open, high, low, close)
data['CDLXSIDEGAP3METHODS'] = talib.CDLXSIDEGAP3METHODS(
open, high, low, close)
# data['ADX'] = talib.ADX(high, low, close, timeperiod=14)
data['MACDFAS'], data['MACDSLO'], data['MACDSIGNA'] = talib.MACD(
close, fastperiod=12, slowperiod=26, signalperiod=9)
data['3day MA'] = close.shift(1).rolling(window=3).mean()
data['10day MA'] = close.shift(1).rolling(window=10).mean()
data['30day MA'] = close.shift(1).rolling(window=30).mean()
data['RSI_9'] = talib.RSI(close.values, timeperiod=9)
data['S_10'] = close.rolling(window=10).mean()
data['Corr'] = close.rolling(window=10).corr(data['S_10'])
data['Williams %R'] = talib.WILLR(data['High'].values, data['Low'].values,
data['Close'].values, 7)
return data
def CDLSHORTLINE(self):
integer = talib.CDLSHORTLINE(self.open, self.high, self.low, self.close)
return integer
cdlpiercing = ta.CDLPIERCING(openp, high, low, close)
#CDLRICKSHAWMAN - Rickshaw Man
cdlrickshawman = ta.CDLRICKSHAWMAN(openp, high, low, close)
#CDLRISEFALL3METHODS - Rising/Falling Three Methods
cdlrisefall3methods = ta.CDLRISEFALL3METHODS(openp, high, low, close)
#CDLSEPARATINGLINES - Separating Lines
cdlseperatinglines = ta.CDLSEPARATINGLINES(openp, high, low, close)
#CDLSHOOTINGSTAR - Shooting Star
cdlshootingstar = ta.CDLSHOOTINGSTAR(openp, high, low, close)
#CDLSHORTLINE - Short Line Candle
cdlshortline = ta.CDLSHORTLINE(openp, high, low, close)
#CDLSPINNINGTOP - Spinning Top
cdlspinningtop = ta.CDLSPINNINGTOP(openp, high, low, close)
#CDLSTALLEDPATTERN - Stalled Pattern
cdlstalledpattern = ta.CDLSTALLEDPATTERN(openp, high, low, close)
#CDLSTICKSANDWICH - Stick Sandwich
cdlsticksandwich = ta.CDLSTICKSANDWICH(openp, high, low, close)
#CDLTAKURI - Takuri (Dragonfly Doji with very long lower shadow)
cdltakuri = ta.CDLTAKURI(openp, high, low, close)
#CDLTASUKIGAP - Tasuki Gap
cdltasukigap = ta.CDLTASUKIGAP(openp, high, low, close)
df['Kicking By Length'] = ta.CDLKICKINGBYLENGTH(df['Open'], df['High'],
df['Low'], df['Close'])
df['Ladder Bottom'] = ta.CDLLADDERBOTTOM(df['Open'], df['High'], df['Low'],
df['Close'])
df['Long Legged Doji'] = ta.CDLLONGLEGGEDDOJI(df['Open'], df['High'],
df['Low'], df['Close'])
df['Long Line Candle'] = ta.CDLLONGLINE(df['Open'], df['High'], df['Low'],
df['Close'])
df['Rising/Falling Three Methods'] = ta.CDLRISEFALL3METHODS(
df['Open'], df['High'], df['Low'], df['Close'])
df['Separating Lines'] = ta.CDLSEPARATINGLINES(df['Open'], df['High'],
df['Low'], df['Close'])
df['Shooting Star'] = ta.CDLSHOOTINGSTAR(df['Open'], df['High'], df['Low'],
df['Close'])
df['Short Line Candle'] = ta.CDLSHORTLINE(df['Open'], df['High'], df['Low'],
df['Close'])
df['Spinning Top'] = ta.CDLSPINNINGTOP(df['Open'], df['High'], df['Low'],
df['Close'])
df['Stalled Pattern'] = ta.CDLSTALLEDPATTERN(df['Open'], df['High'], df['Low'],
df['Close'])
df['Stick Sandwich'] = ta.CDLSTICKSANDWICH(df['Open'], df['High'], df['Low'],
df['Close'])
df['Takuri'] = ta.CDLTAKURI(df['Open'], df['High'], df['Low'], df['Close'])
# Tasuki Gap is a three-bar candlestick formation that is commonly used to signal the continuation of the current trend.
df['Tasuki Gap'] = ta.CDLTASUKIGAP(df['Open'], df['High'], df['Low'],
df['Close'])
# The pattern is thought to act as a continuation pattern, but in reality, it acts as a reversal pattern about half the time.
df['Thrusting Pattern'] = ta.CDLTHRUSTING(df['Open'], df['High'], df['Low'],
df['Close'])
